Hu Chunming / vpt_ascend

opencl_kernels_video.cpp 52.5 KB
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// This file is auto-generated. Do not edit!

#include "opencv2/core.hpp"
#include "cvconfig.h"
#include "opencl_kernels_video.hpp"

#ifdef HAVE_OPENCL

namespace cv
{
namespace ocl
{
namespace video
{

static const char* const moduleName = "video";

struct cv::ocl::internal::ProgramEntry bgfg_knn_oclsrc={moduleName, "bgfg_knn",
"#if CN==1\n"
"#define T_MEAN float\n"
"#define F_ZERO (0.0f)\n"
"#define frameToMean(a, b) (b) = *(a);\n"
"#define meanToFrame(a, b) *b = convert_uchar_sat(a);\n"
"#else\n"
"#define T_MEAN float4\n"
"#define F_ZERO (0.0f, 0.0f, 0.0f, 0.0f)\n"
"#define meanToFrame(a, b)\\\n"
"b[0] = convert_uchar_sat(a.x); \\\n"
"b[1] = convert_uchar_sat(a.y); \\\n"
"b[2] = convert_uchar_sat(a.z);\n"
"#define frameToMean(a, b)\\\n"
"b.x = a[0]; \\\n"
"b.y = a[1]; \\\n"
"b.z = a[2]; \\\n"
"b.w = 0.0f;\n"
"#endif\n"
"__kernel void knn_kernel(__global const uchar* frame, int frame_step, int frame_offset, int frame_row, int frame_col,\n"
"__global const uchar* nNextLongUpdate,\n"
"__global const uchar* nNextMidUpdate,\n"
"__global const uchar* nNextShortUpdate,\n"
"__global uchar* aModelIndexLong,\n"
"__global uchar* aModelIndexMid,\n"
"__global uchar* aModelIndexShort,\n"
"__global uchar* flag,\n"
"__global uchar* sample,\n"
"__global uchar* fgmask, int fgmask_step, int fgmask_offset,\n"
"int nLongCounter, int nMidCounter, int nShortCounter,\n"
"float c_Tb, int c_nkNN, float c_tau\n"
"#ifdef SHADOW_DETECT\n"
", uchar c_shadowVal\n"
"#endif\n"
")\n"
"{\n"
"int x = get_global_id(0);\n"
"int y = get_global_id(1);\n"
"if( x < frame_col && y < frame_row)\n"
"{\n"
"__global const uchar* _frame = (frame + mad24(y, frame_step, mad24(x, CN, frame_offset)));\n"
"T_MEAN pix;\n"
"frameToMean(_frame, pix);\n"
"uchar foreground = 255;\n"
"int Pbf = 0;\n"
"int Pb = 0;\n"
"uchar include = 0;\n"
"int pt_idx =  mad24(y, frame_col, x);\n"
"int idx_step = frame_row * frame_col;\n"
"__global T_MEAN* _sample = (__global T_MEAN*)(sample);\n"
"for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n)\n"
"{\n"
"int n_idx = mad24(n, idx_step, pt_idx);\n"
"T_MEAN c_mean = _sample[n_idx];\n"
"uchar c_flag = flag[n_idx];\n"
"T_MEAN diff = c_mean - pix;\n"
"float dist2 = dot(diff, diff);\n"
"if (dist2 < c_Tb)\n"
"{\n"
"Pbf++;\n"
"if (c_flag)\n"
"{\n"
"Pb++;\n"
"if (Pb >= c_nkNN)\n"
"{\n"
"include = 1;\n"
"foreground = 0;\n"
"break;\n"
"}\n"
"}\n"
"}\n"
"}\n"
"if (Pbf >= c_nkNN)\n"
"{\n"
"include = 1;\n"
"}\n"
"#ifdef SHADOW_DETECT\n"
"if (foreground)\n"
"{\n"
"int Ps = 0;\n"
"for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n)\n"
"{\n"
"int n_idx = mad24(n, idx_step, pt_idx);\n"
"uchar c_flag = flag[n_idx];\n"
"if (c_flag)\n"
"{\n"
"T_MEAN c_mean = _sample[n_idx];\n"
"float numerator = dot(pix, c_mean);\n"
"float denominator = dot(c_mean, c_mean);\n"
"if (denominator == 0)\n"
"break;\n"
"if (numerator <= denominator && numerator >= c_tau * denominator)\n"
"{\n"
"float a = numerator / denominator;\n"
"T_MEAN dD = mad(a, c_mean, -pix);\n"
"if (dot(dD, dD) < c_Tb * a * a)\n"
"{\n"
"Ps++;\n"
"if (Ps >= c_nkNN)\n"
"{\n"
"foreground = c_shadowVal;\n"
"break;\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"}\n"
"#endif\n"
"__global uchar* _fgmask = fgmask + mad24(y, fgmask_step, x + fgmask_offset);\n"
"*_fgmask = (uchar)foreground;\n"
"__global const uchar* _nNextLongUpdate = nNextLongUpdate + pt_idx;\n"
"__global const uchar* _nNextMidUpdate = nNextMidUpdate + pt_idx;\n"
"__global const uchar* _nNextShortUpdate = nNextShortUpdate + pt_idx;\n"
"__global uchar* _aModelIndexLong = aModelIndexLong + pt_idx;\n"
"__global uchar* _aModelIndexMid = aModelIndexMid + pt_idx;\n"
"__global uchar* _aModelIndexShort = aModelIndexShort + pt_idx;\n"
"uchar nextLongUpdate = _nNextLongUpdate[0];\n"
"uchar nextMidUpdate = _nNextMidUpdate[0];\n"
"uchar nextShortUpdate = _nNextShortUpdate[0];\n"
"uchar modelIndexLong = _aModelIndexLong[0];\n"
"uchar modelIndexMid = _aModelIndexMid[0];\n"
"uchar modelIndexShort = _aModelIndexShort[0];\n"
"int offsetLong = mad24(mad24(2, (NSAMPLES), modelIndexLong), idx_step, pt_idx);\n"
"int offsetMid = mad24((NSAMPLES)+modelIndexMid, idx_step, pt_idx);\n"
"int offsetShort = mad24(modelIndexShort, idx_step, pt_idx);\n"
"if (nextLongUpdate == nLongCounter)\n"
"{\n"
"_sample[offsetLong] = _sample[offsetMid];\n"
"flag[offsetLong] = flag[offsetMid];\n"
"_aModelIndexLong[0] = (modelIndexLong >= ((NSAMPLES)-1)) ? 0 : (modelIndexLong + 1);\n"
"}\n"
"if (nextMidUpdate == nMidCounter)\n"
"{\n"
"_sample[offsetMid] = _sample[offsetShort];\n"
"flag[offsetMid] = flag[offsetShort];\n"
"_aModelIndexMid[0] = (modelIndexMid >= ((NSAMPLES)-1)) ? 0 : (modelIndexMid + 1);\n"
"}\n"
"if (nextShortUpdate == nShortCounter)\n"
"{\n"
"_sample[offsetShort] = pix;\n"
"flag[offsetShort] = include;\n"
"_aModelIndexShort[0] = (modelIndexShort >= ((NSAMPLES)-1)) ? 0 : (modelIndexShort + 1);\n"
"}\n"
"}\n"
"}\n"
"__kernel void getBackgroundImage2_kernel(__global const uchar* flag,\n"
"__global const uchar* sample,\n"
"__global uchar* dst, int dst_step, int dst_offset, int dst_row, int dst_col)\n"
"{\n"
"int x = get_global_id(0);\n"
"int y = get_global_id(1);\n"
"if(x < dst_col && y < dst_row)\n"
"{\n"
"int pt_idx =  mad24(y, dst_col, x);\n"
"T_MEAN meanVal = (T_MEAN)F_ZERO;\n"
"__global T_MEAN* _sample = (__global T_MEAN*)(sample);\n"
"int idx_step = dst_row * dst_col;\n"
"for (uchar n = 0; n < (NSAMPLES) * 3 ; ++n)\n"
"{\n"
"int n_idx = mad24(n, idx_step, pt_idx);\n"
"uchar c_flag = flag[n_idx];\n"
"if(c_flag)\n"
"{\n"
"meanVal = _sample[n_idx];\n"
"break;\n"
"}\n"
"}\n"
"__global uchar* _dst = dst + mad24(y, dst_step, mad24(x, CN, dst_offset));\n"
"meanToFrame(meanVal, _dst);\n"
"}\n"
"}\n"
, "a192721ae727b25afde8d854a0679ee4", NULL};
struct cv::ocl::internal::ProgramEntry bgfg_mog2_oclsrc={moduleName, "bgfg_mog2",
"#if CN==1\n"
"#define T_MEAN float\n"
"#define F_ZERO (0.0f)\n"
"#define cnMode 1\n"
"#define frameToMean(a, b) (b) = *(a);\n"
"#if FL==0\n"
"#define meanToFrame(a, b) *b = convert_uchar_sat(a);\n"
"#else\n"
"#define meanToFrame(a, b) *b = (float)a;\n"
"#endif\n"
"#else\n"
"#define T_MEAN float4\n"
"#define F_ZERO (0.0f, 0.0f, 0.0f, 0.0f)\n"
"#define cnMode 4\n"
"#if FL == 0\n"
"#define meanToFrame(a, b)\\\n"
"b[0] = convert_uchar_sat(a.x); \\\n"
"b[1] = convert_uchar_sat(a.y); \\\n"
"b[2] = convert_uchar_sat(a.z);\n"
"#else\n"
"#define meanToFrame(a, b)\\\n"
"b[0] = a.x; \\\n"
"b[1] = a.y; \\\n"
"b[2] = a.z;\n"
"#endif\n"
"#define frameToMean(a, b)\\\n"
"b.x = a[0]; \\\n"
"b.y = a[1]; \\\n"
"b.z = a[2]; \\\n"
"b.w = 0.0f;\n"
"#endif\n"
"__kernel void mog2_kernel(__global const uchar* frame, int frame_step, int frame_offset, int frame_row, int frame_col,\n"
"__global uchar* modesUsed,\n"
"__global uchar* weight,\n"
"__global uchar* mean,\n"
"__global uchar* variance,\n"
"__global uchar* fgmask, int fgmask_step, int fgmask_offset,\n"
"float alphaT, float alpha1, float prune,\n"
"float c_Tb, float c_TB, float c_Tg, float c_varMin,\n"
"float c_varMax, float c_varInit, float c_tau\n"
"#ifdef SHADOW_DETECT\n"
", uchar c_shadowVal\n"
"#endif\n"
")\n"
"{\n"
"int x = get_global_id(0);\n"
"int y = get_global_id(1);\n"
"if( x < frame_col && y < frame_row)\n"
"{\n"
"#if FL==0\n"
"__global const uchar* _frame = (frame + mad24(y, frame_step, mad24(x, CN, frame_offset)));\n"
"#else\n"
"__global const float* _frame = ((__global const float*)( frame + mad24(y, frame_step, frame_offset)) + mad24(x, CN, 0));\n"
"#endif\n"
"T_MEAN pix;\n"
"frameToMean(_frame, pix);\n"
"uchar foreground = 255;\n"
"bool fitsPDF = false;\n"
"int pt_idx =  mad24(y, frame_col, x);\n"
"int idx_step = frame_row * frame_col;\n"
"__global uchar* _modesUsed = modesUsed + pt_idx;\n"
"uchar nmodes = _modesUsed[0];\n"
"float totalWeight = 0.0f;\n"
"__global float* _weight = (__global float*)(weight);\n"
"__global float* _variance = (__global float*)(variance);\n"
"__global T_MEAN* _mean = (__global T_MEAN*)(mean);\n"
"uchar mode = 0;\n"
"for (; mode < nmodes; ++mode)\n"
"{\n"
"int mode_idx = mad24(mode, idx_step, pt_idx);\n"
"float c_weight = mad(alpha1, _weight[mode_idx], prune);\n"
"float c_var = _variance[mode_idx];\n"
"T_MEAN c_mean = _mean[mode_idx];\n"
"T_MEAN diff = c_mean - pix;\n"
"float dist2 = dot(diff, diff);\n"
"if (totalWeight < c_TB && dist2 < c_Tb * c_var)\n"
"foreground = 0;\n"
"if (dist2 < c_Tg * c_var)\n"
"{\n"
"fitsPDF = true;\n"
"c_weight += alphaT;\n"
"float k = alphaT / c_weight;\n"
"T_MEAN mean_new = mad((T_MEAN)-k, diff, c_mean);\n"
"float variance_new  = clamp(mad(k, (dist2 - c_var), c_var), c_varMin, c_varMax);\n"
"for (int i = mode; i > 0; --i)\n"
"{\n"
"int prev_idx = mode_idx - idx_step;\n"
"if (c_weight < _weight[prev_idx])\n"
"break;\n"
"_weight[mode_idx]   = _weight[prev_idx];\n"
"_variance[mode_idx] = _variance[prev_idx];\n"
"_mean[mode_idx]     = _mean[prev_idx];\n"
"mode_idx = prev_idx;\n"
"}\n"
"_mean[mode_idx]     = mean_new;\n"
"_variance[mode_idx] = variance_new;\n"
"_weight[mode_idx]   = c_weight;\n"
"totalWeight += c_weight;\n"
"mode ++;\n"
"break;\n"
"}\n"
"if (c_weight < -prune)\n"
"c_weight = 0.0f;\n"
"_weight[mode_idx] = c_weight;\n"
"totalWeight += c_weight;\n"
"}\n"
"for (; mode < nmodes; ++mode)\n"
"{\n"
"int mode_idx = mad24(mode, idx_step, pt_idx);\n"
"float c_weight = mad(alpha1, _weight[mode_idx], prune);\n"
"if (c_weight < -prune)\n"
"{\n"
"c_weight = 0.0f;\n"
"nmodes = mode;\n"
"break;\n"
"}\n"
"_weight[mode_idx] = c_weight;\n"
"totalWeight += c_weight;\n"
"}\n"
"if (0.f < totalWeight)\n"
"{\n"
"totalWeight = 1.f / totalWeight;\n"
"for (int mode = 0; mode < nmodes; ++mode)\n"
"_weight[mad24(mode, idx_step, pt_idx)] *= totalWeight;\n"
"}\n"
"if (!fitsPDF)\n"
"{\n"
"uchar mode = nmodes == (NMIXTURES) ? (NMIXTURES) - 1 : nmodes++;\n"
"int mode_idx = mad24(mode, idx_step, pt_idx);\n"
"if (nmodes == 1)\n"
"_weight[mode_idx] = 1.f;\n"
"else\n"
"{\n"
"_weight[mode_idx] = alphaT;\n"
"for (int i = pt_idx; i < mode_idx; i += idx_step)\n"
"_weight[i] *= alpha1;\n"
"}\n"
"for (int i = nmodes - 1; i > 0; --i)\n"
"{\n"
"int prev_idx = mode_idx - idx_step;\n"
"if (alphaT < _weight[prev_idx])\n"
"break;\n"
"_weight[mode_idx]   = _weight[prev_idx];\n"
"_variance[mode_idx] = _variance[prev_idx];\n"
"_mean[mode_idx]     = _mean[prev_idx];\n"
"mode_idx = prev_idx;\n"
"}\n"
"_mean[mode_idx] = pix;\n"
"_variance[mode_idx] = c_varInit;\n"
"}\n"
"_modesUsed[0] = nmodes;\n"
"#ifdef SHADOW_DETECT\n"
"if (foreground)\n"
"{\n"
"float tWeight = 0.0f;\n"
"for (uchar mode = 0; mode < nmodes; ++mode)\n"
"{\n"
"int mode_idx = mad24(mode, idx_step, pt_idx);\n"
"T_MEAN c_mean = _mean[mode_idx];\n"
"float numerator = dot(pix, c_mean);\n"
"float denominator = dot(c_mean, c_mean);\n"
"if (denominator == 0)\n"
"break;\n"
"if (numerator <= denominator && numerator >= c_tau * denominator)\n"
"{\n"
"float a = numerator / denominator;\n"
"T_MEAN dD = mad(a, c_mean, -pix);\n"
"if (dot(dD, dD) < c_Tb * _variance[mode_idx] * a * a)\n"
"{\n"
"foreground = c_shadowVal;\n"
"break;\n"
"}\n"
"}\n"
"tWeight += _weight[mode_idx];\n"
"if (tWeight > c_TB)\n"
"break;\n"
"}\n"
"}\n"
"#endif\n"
"__global uchar* _fgmask = fgmask + mad24(y, fgmask_step, x + fgmask_offset);\n"
"*_fgmask = (uchar)foreground;\n"
"}\n"
"}\n"
"__kernel void getBackgroundImage2_kernel(__global const uchar* modesUsed,\n"
"__global const uchar* weight,\n"
"__global const uchar* mean,\n"
"__global uchar* dst, int dst_step, int dst_offset, int dst_row, int dst_col,\n"
"float c_TB)\n"
"{\n"
"int x = get_global_id(0);\n"
"int y = get_global_id(1);\n"
"if(x < dst_col && y < dst_row)\n"
"{\n"
"int pt_idx =  mad24(y, dst_col, x);\n"
"__global const uchar* _modesUsed = modesUsed + pt_idx;\n"
"uchar nmodes = _modesUsed[0];\n"
"T_MEAN meanVal = (T_MEAN)F_ZERO;\n"
"float totalWeight = 0.0f;\n"
"__global const float* _weight = (__global const float*)weight;\n"
"__global const T_MEAN* _mean = (__global const T_MEAN*)(mean);\n"
"int idx_step = dst_row * dst_col;\n"
"for (uchar mode = 0; mode < nmodes; ++mode)\n"
"{\n"
"int mode_idx = mad24(mode, idx_step, pt_idx);\n"
"float c_weight = _weight[mode_idx];\n"
"T_MEAN c_mean = _mean[mode_idx];\n"
"meanVal = mad(c_weight, c_mean, meanVal);\n"
"totalWeight += c_weight;\n"
"if (totalWeight > c_TB)\n"
"break;\n"
"}\n"
"if (0.f < totalWeight)\n"
"meanVal = meanVal / totalWeight;\n"
"else\n"
"meanVal = (T_MEAN)(0.f);\n"
"#if FL==0\n"
"__global uchar* _dst = dst + mad24(y, dst_step, mad24(x, CN, dst_offset));\n"
"meanToFrame(meanVal, _dst);\n"
"#else\n"
"__global float* _dst = ((__global float*)( dst + mad24(y, dst_step, dst_offset)) + mad24(x, CN, 0));\n"
"meanToFrame(meanVal, _dst);\n"
"#endif\n"
"}\n"
"}\n"
, "39b7e7b52e8eb53029cf2337ae3d904f", NULL};
struct cv::ocl::internal::ProgramEntry dis_flow_oclsrc={moduleName, "dis_flow",
"#define EPS 0.001f\n"
"#define INF 1E+10F\n"
"#define DIS_PATCH_SIZE_HALF (DIS_PATCH_SIZE / 2)\n"
"#ifndef DIS_BORDER_SIZE\n"
"__kernel void dis_precomputeStructureTensor_hor(__global const short *I0x,\n"
"__global const short *I0y,\n"
"int w, int h, int ws,\n"
"__global float *I0xx_aux_ptr,\n"
"__global float *I0yy_aux_ptr,\n"
"__global float *I0xy_aux_ptr,\n"
"__global float *I0x_aux_ptr,\n"
"__global float *I0y_aux_ptr)\n"
"{\n"
"int i = get_global_id(0);\n"
"if (i >= h) return;\n"
"const __global short *x_row = I0x + i * w;\n"
"const __global short *y_row = I0y + i * w;\n"
"float sum_xx = 0.0f, sum_yy = 0.0f, sum_xy = 0.0f, sum_x = 0.0f, sum_y = 0.0f;\n"
"float8 x_vec = convert_float8(vload8(0, x_row));\n"
"float8 y_vec = convert_float8(vload8(0, y_row));\n"
"sum_xx = dot(x_vec.lo, x_vec.lo) + dot(x_vec.hi, x_vec.hi);\n"
"sum_yy = dot(y_vec.lo, y_vec.lo) + dot(y_vec.hi, y_vec.hi);\n"
"sum_xy = dot(x_vec.lo, y_vec.lo) + dot(x_vec.hi, y_vec.hi);\n"
"sum_x = dot(x_vec.lo, 1.0f) + dot(x_vec.hi, 1.0f);\n"
"sum_y = dot(y_vec.lo, 1.0f) + dot(y_vec.hi, 1.0f);\n"
"I0xx_aux_ptr[i * ws] = sum_xx;\n"
"I0yy_aux_ptr[i * ws] = sum_yy;\n"
"I0xy_aux_ptr[i * ws] = sum_xy;\n"
"I0x_aux_ptr[i * ws] = sum_x;\n"
"I0y_aux_ptr[i * ws] = sum_y;\n"
"int js = 1;\n"
"for (int j = DIS_PATCH_SIZE; j < w; j++)\n"
"{\n"
"short x_val1 = x_row[j];\n"
"short x_val2 = x_row[j - DIS_PATCH_SIZE];\n"
"short y_val1 = y_row[j];\n"
"short y_val2 = y_row[j - DIS_PATCH_SIZE];\n"
"sum_xx += (x_val1 * x_val1 - x_val2 * x_val2);\n"
"sum_yy += (y_val1 * y_val1 - y_val2 * y_val2);\n"
"sum_xy += (x_val1 * y_val1 - x_val2 * y_val2);\n"
"sum_x += (x_val1 - x_val2);\n"
"sum_y += (y_val1 - y_val2);\n"
"if ((j - DIS_PATCH_SIZE + 1) % DIS_PATCH_STRIDE == 0)\n"
"{\n"
"int index = i * ws + js;\n"
"I0xx_aux_ptr[index] = sum_xx;\n"
"I0yy_aux_ptr[index] = sum_yy;\n"
"I0xy_aux_ptr[index] = sum_xy;\n"
"I0x_aux_ptr[index] = sum_x;\n"
"I0y_aux_ptr[index] = sum_y;\n"
"js++;\n"
"}\n"
"}\n"
"}\n"
"__kernel void dis_precomputeStructureTensor_ver(__global const float *I0xx_aux_ptr,\n"
"__global const float *I0yy_aux_ptr,\n"
"__global const float *I0xy_aux_ptr,\n"
"__global const float *I0x_aux_ptr,\n"
"__global const float *I0y_aux_ptr,\n"
"int w, int h, int ws,\n"
"__global float *I0xx_ptr,\n"
"__global float *I0yy_ptr,\n"
"__global float *I0xy_ptr,\n"
"__global float *I0x_ptr,\n"
"__global float *I0y_ptr)\n"
"{\n"
"int j = get_global_id(0);\n"
"if (j >= ws) return;\n"
"float sum_xx, sum_yy, sum_xy, sum_x, sum_y;\n"
"sum_xx = sum_yy = sum_xy = sum_x = sum_y = 0.0f;\n"
"for (int i = 0; i < DIS_PATCH_SIZE; i++)\n"
"{\n"
"sum_xx += I0xx_aux_ptr[i * ws + j];\n"
"sum_yy += I0yy_aux_ptr[i * ws + j];\n"
"sum_xy += I0xy_aux_ptr[i * ws + j];\n"
"sum_x  += I0x_aux_ptr[i * ws + j];\n"
"sum_y  += I0y_aux_ptr[i * ws + j];\n"
"}\n"
"I0xx_ptr[j] = sum_xx;\n"
"I0yy_ptr[j] = sum_yy;\n"
"I0xy_ptr[j] = sum_xy;\n"
"I0x_ptr[j] = sum_x;\n"
"I0y_ptr[j] = sum_y;\n"
"int is = 1;\n"
"for (int i = DIS_PATCH_SIZE; i < h; i++)\n"
"{\n"
"sum_xx += (I0xx_aux_ptr[i * ws + j] - I0xx_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);\n"
"sum_yy += (I0yy_aux_ptr[i * ws + j] - I0yy_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);\n"
"sum_xy += (I0xy_aux_ptr[i * ws + j] - I0xy_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);\n"
"sum_x  += (I0x_aux_ptr[i * ws + j] - I0x_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);\n"
"sum_y  += (I0y_aux_ptr[i * ws + j] - I0y_aux_ptr[(i - DIS_PATCH_SIZE) * ws + j]);\n"
"if ((i - DIS_PATCH_SIZE + 1) % DIS_PATCH_STRIDE == 0)\n"
"{\n"
"I0xx_ptr[is * ws + j] = sum_xx;\n"
"I0yy_ptr[is * ws + j] = sum_yy;\n"
"I0xy_ptr[is * ws + j] = sum_xy;\n"
"I0x_ptr[is * ws + j] = sum_x;\n"
"I0y_ptr[is * ws + j] = sum_y;\n"
"is++;\n"
"}\n"
"}\n"
"}\n"
"__kernel void dis_densification(__global const float2 *S_ptr,\n"
"__global const uchar *i0, __global const uchar *i1,\n"
"int w, int h, int ws,\n"
"__global float2 *U_ptr)\n"
"{\n"
"int x = get_global_id(0);\n"
"int y = get_global_id(1);\n"
"int i, j;\n"
"if (x >= w || y >= h) return;\n"
"int start_is, end_is;\n"
"int start_js, end_js;\n"
"end_is = min(y / DIS_PATCH_STRIDE, (h - DIS_PATCH_SIZE) / DIS_PATCH_STRIDE);\n"
"start_is = max(0, y - DIS_PATCH_SIZE + DIS_PATCH_STRIDE) / DIS_PATCH_STRIDE;\n"
"start_is = min(start_is, end_is);\n"
"end_js = min(x / DIS_PATCH_STRIDE, (w - DIS_PATCH_SIZE) / DIS_PATCH_STRIDE);\n"
"start_js = max(0, x - DIS_PATCH_SIZE + DIS_PATCH_STRIDE) / DIS_PATCH_STRIDE;\n"
"start_js = min(start_js, end_js);\n"
"float sum_coef = 0.0f;\n"
"float2 sum_U = (float2)(0.0f, 0.0f);\n"
"int i_l, i_u;\n"
"int j_l, j_u;\n"
"float i_m, j_m, diff;\n"
"i = y;\n"
"j = x;\n"
"for (int is = start_is; is <= end_is; is++)\n"
"for (int js = start_js; js <= end_js; js++)\n"
"{\n"
"float2 s_val = S_ptr[is * ws + js];\n"
"uchar2 i1_vec1, i1_vec2;\n"
"j_m = min(max(j + s_val.x, 0.0f), w - 1.0f - EPS);\n"
"i_m = min(max(i + s_val.y, 0.0f), h - 1.0f - EPS);\n"
"j_l = (int)j_m;\n"
"j_u = j_l + 1;\n"
"i_l = (int)i_m;\n"
"i_u = i_l + 1;\n"
"i1_vec1 = vload2(0, i1 + i_u * w + j_l);\n"
"i1_vec2 = vload2(0, i1 + i_l * w + j_l);\n"
"diff = (j_m - j_l) * (i_m - i_l) * i1_vec1.y +\n"
"(j_u - j_m) * (i_m - i_l) * i1_vec1.x +\n"
"(j_m - j_l) * (i_u - i_m) * i1_vec2.y +\n"
"(j_u - j_m) * (i_u - i_m) * i1_vec2.x - i0[i * w + j];\n"
"float coef = 1.0f / max(1.0f, fabs(diff));\n"
"sum_U += coef * s_val;\n"
"sum_coef += coef;\n"
"}\n"
"float inv_sum_coef = 1.0 / sum_coef;\n"
"U_ptr[i * w + j] = sum_U * inv_sum_coef;\n"
"}\n"
"#else\n"
"#define INIT_BILINEAR_WEIGHTS(Ux, Uy) \\\n"
"i_I1 = clamp(i + Uy + DIS_BORDER_SIZE, i_lower_limit, i_upper_limit); \\\n"
"j_I1 = clamp(j + Ux + DIS_BORDER_SIZE, j_lower_limit, j_upper_limit); \\\n"
"{ \\\n"
"float di = i_I1 - floor(i_I1); \\\n"
"float dj = j_I1 - floor(j_I1); \\\n"
"w11 = di       * dj; \\\n"
"w10 = di       * (1 - dj); \\\n"
"w01 = (1 - di) * dj; \\\n"
"w00 = (1 - di) * (1 - dj); \\\n"
"}\n"
"float computeSSDMeanNorm(const __global uchar *I0_ptr, const __global uchar *I1_ptr,\n"
"int I0_stride, int I1_stride,\n"
"float w00, float w01, float w10, float w11, int i\n"
"#ifndef CV_USE_SUBGROUPS\n"
", __local float2 *smem \n"
"#endif\n"
")\n"
"{\n"
"float sum_diff = 0.0f, sum_diff_sq = 0.0f;\n"
"int n = DIS_PATCH_SIZE * DIS_PATCH_SIZE;\n"
"uchar8 I1_vec1, I1_vec2, I0_vec;\n"
"uchar I1_val1, I1_val2;\n"
"I0_vec  = vload8(0, I0_ptr + i * I0_stride);\n"
"I1_vec1 = vload8(0, I1_ptr + i * I1_stride);\n"
"I1_vec2 = vload8(0, I1_ptr + (i + 1) * I1_stride);\n"
"I1_val1 = I1_ptr[i * I1_stride + 8];\n"
"I1_val2 = I1_ptr[(i + 1) * I1_stride + 8];\n"
"float8 vec = w00 * convert_float8(I1_vec1) + w01 * convert_float8((uchar8)(I1_vec1.s123, I1_vec1.s4567, I1_val1)) +\n"
"w10 * convert_float8(I1_vec2) + w11 * convert_float8((uchar8)(I1_vec2.s123, I1_vec2.s4567, I1_val2)) -\n"
"convert_float8(I0_vec);\n"
"sum_diff = (dot(vec.lo, 1.0) + dot(vec.hi, 1.0));\n"
"sum_diff_sq = (dot(vec.lo, vec.lo) + dot(vec.hi, vec.hi));\n"
"#ifdef CV_USE_SUBGROUPS\n"
"sum_diff = sub_group_reduce_add(sum_diff);\n"
"sum_diff_sq = sub_group_reduce_add(sum_diff_sq);\n"
"#else\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"smem[i] = (float2)(sum_diff, sum_diff_sq);\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (i < 4)\n"
"smem[i] += smem[i + 4];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (i < 2)\n"
"smem[i] += smem[i + 2];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (i == 0)\n"
"smem[0] += smem[1];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"float2 reduce_add_result = smem[0];\n"
"sum_diff = reduce_add_result.x;\n"
"sum_diff_sq = reduce_add_result.y;\n"
"#endif\n"
"return sum_diff_sq - sum_diff * sum_diff / n;\n"
"}\n"
"__attribute__((reqd_work_group_size(8, 1, 1)))\n"
"__kernel void dis_patch_inverse_search_fwd_1(__global const float2 *U_ptr,\n"
"__global const uchar *I0_ptr, __global const uchar *I1_ptr,\n"
"int w, int h, int ws, int hs,\n"
"__global float2 *S_ptr)\n"
"{\n"
"int id = get_global_id(0);\n"
"int is = get_group_id(0);\n"
"int i = is * DIS_PATCH_STRIDE;\n"
"int j = 0;\n"
"int w_ext = w + 2 * DIS_BORDER_SIZE;\n"
"float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;\n"
"float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;\n"
"float2 prev_U = U_ptr[(i + DIS_PATCH_SIZE_HALF) * w + j + DIS_PATCH_SIZE_HALF];\n"
"S_ptr[is * ws] = prev_U;\n"
"j += DIS_PATCH_STRIDE;\n"
"#ifdef CV_USE_SUBGROUPS\n"
"int sid = get_sub_group_local_id();\n"
"#define EXTRA_ARGS_computeSSDMeanNorm sid\n"
"#else\n"
"__local float2 smem[8];\n"
"int sid = get_local_id(0);\n"
"#define EXTRA_ARGS_computeSSDMeanNorm sid, smem\n"
"#endif\n"
"for (int js = 1; js < ws; js++, j += DIS_PATCH_STRIDE)\n"
"{\n"
"float2 U = U_ptr[(i + DIS_PATCH_SIZE_HALF) * w + j + DIS_PATCH_SIZE_HALF];\n"
"float i_I1, j_I1, w00, w01, w10, w11;\n"
"INIT_BILINEAR_WEIGHTS(U.x, U.y);\n"
"float min_SSD = computeSSDMeanNorm(\n"
"I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,\n"
"w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);\n"
"INIT_BILINEAR_WEIGHTS(prev_U.x, prev_U.y);\n"
"float cur_SSD = computeSSDMeanNorm(\n"
"I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,\n"
"w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);\n"
"prev_U = (cur_SSD < min_SSD) ? prev_U : U;\n"
"S_ptr[is * ws + js] = prev_U;\n"
"}\n"
"#undef EXTRA_ARGS_computeSSDMeanNorm\n"
"}\n"
"#endif\n"
"float4 processPatchMeanNorm(const __global uchar *I0_ptr, const __global uchar *I1_ptr,\n"
"const __global short *I0x_ptr, const __global short *I0y_ptr,\n"
"int I0_stride, int I1_stride, float w00, float w01, float w10,\n"
"float w11, float x_grad_sum, float y_grad_sum)\n"
"{\n"
"const float inv_n = 1.0f / (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE);\n"
"float sum_diff = 0.0, sum_diff_sq = 0.0;\n"
"float sum_I0x_mul = 0.0, sum_I0y_mul = 0.0;\n"
"uchar8 I1_vec1;\n"
"uchar8 I1_vec2 = vload8(0, I1_ptr);\n"
"uchar I1_val1;\n"
"uchar I1_val2 = I1_ptr[DIS_PATCH_SIZE];\n"
"for (int i = 0; i < 8; i++)\n"
"{\n"
"uchar8 I0_vec = vload8(0, I0_ptr + i * I0_stride);\n"
"I1_vec1 = I1_vec2;\n"
"I1_vec2 = vload8(0, I1_ptr + (i + 1) * I1_stride);\n"
"I1_val1 = I1_val2;\n"
"I1_val2 = I1_ptr[(i + 1) * I1_stride + DIS_PATCH_SIZE];\n"
"float8 vec = w00 * convert_float8(I1_vec1) + w01 * convert_float8((uchar8)(I1_vec1.s123, I1_vec1.s4567, I1_val1)) +\n"
"w10 * convert_float8(I1_vec2) + w11 * convert_float8((uchar8)(I1_vec2.s123, I1_vec2.s4567, I1_val2)) -\n"
"convert_float8(I0_vec);\n"
"sum_diff += (dot(vec.lo, 1.0) + dot(vec.hi, 1.0));\n"
"sum_diff_sq += (dot(vec.lo, vec.lo) + dot(vec.hi, vec.hi));\n"
"short8 I0x_vec = vload8(0, I0x_ptr + i * I0_stride);\n"
"short8 I0y_vec = vload8(0, I0y_ptr + i * I0_stride);\n"
"sum_I0x_mul += dot(vec.lo, convert_float4(I0x_vec.lo));\n"
"sum_I0x_mul += dot(vec.hi, convert_float4(I0x_vec.hi));\n"
"sum_I0y_mul += dot(vec.lo, convert_float4(I0y_vec.lo));\n"
"sum_I0y_mul += dot(vec.hi, convert_float4(I0y_vec.hi));\n"
"}\n"
"float dst_dUx = sum_I0x_mul - sum_diff * x_grad_sum * inv_n;\n"
"float dst_dUy = sum_I0y_mul - sum_diff * y_grad_sum * inv_n;\n"
"float SSD = sum_diff_sq - sum_diff * sum_diff * inv_n;\n"
"return (float4)(SSD, dst_dUx, dst_dUy, 0);\n"
"}\n"
"#ifdef DIS_BORDER_SIZE\n"
"__kernel void dis_patch_inverse_search_fwd_2(__global const float2 *U_ptr,\n"
"__global const uchar *I0_ptr, __global const uchar *I1_ptr,\n"
"__global const short *I0x_ptr, __global const short *I0y_ptr,\n"
"__global const float *xx_ptr, __global const float *yy_ptr,\n"
"__global const float *xy_ptr,\n"
"__global const float *x_ptr, __global const float *y_ptr,\n"
"int w, int h, int ws, int hs, int num_inner_iter,\n"
"__global float2 *S_ptr)\n"
"{\n"
"int js = get_global_id(0);\n"
"int is = get_global_id(1);\n"
"int i = is * DIS_PATCH_STRIDE;\n"
"int j = js * DIS_PATCH_STRIDE;\n"
"const int psz = DIS_PATCH_SIZE;\n"
"int w_ext = w + 2 * DIS_BORDER_SIZE;\n"
"int index = is * ws + js;\n"
"if (js >= ws || is >= hs) return;\n"
"float2 U0 = S_ptr[index];\n"
"float2 cur_U = U0;\n"
"float cur_xx = xx_ptr[index];\n"
"float cur_yy = yy_ptr[index];\n"
"float cur_xy = xy_ptr[index];\n"
"float detH = cur_xx * cur_yy - cur_xy * cur_xy;\n"
"float inv_detH = (fabs(detH) < EPS) ? 1.0 / EPS : 1.0 / detH;\n"
"float invH11 = cur_yy * inv_detH;\n"
"float invH12 = -cur_xy * inv_detH;\n"
"float invH22 = cur_xx * inv_detH;\n"
"float prev_SSD = INF;\n"
"float x_grad_sum = x_ptr[index];\n"
"float y_grad_sum = y_ptr[index];\n"
"const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;\n"
"const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;\n"
"for (int t = 0; t < num_inner_iter; t++)\n"
"{\n"
"float i_I1, j_I1, w00, w01, w10, w11;\n"
"INIT_BILINEAR_WEIGHTS(cur_U.x, cur_U.y);\n"
"float4 res = processPatchMeanNorm(\n"
"I0_ptr  + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,\n"
"I0x_ptr + i * w + j, I0y_ptr + i * w + j,\n"
"w, w_ext, w00, w01, w10, w11,\n"
"x_grad_sum, y_grad_sum);\n"
"float SSD = res.x;\n"
"float dUx = res.y;\n"
"float dUy = res.z;\n"
"float dx = invH11 * dUx + invH12 * dUy;\n"
"float dy = invH12 * dUx + invH22 * dUy;\n"
"cur_U -= (float2)(dx, dy);\n"
"if (SSD >= prev_SSD)\n"
"break;\n"
"prev_SSD = SSD;\n"
"}\n"
"float2 vec = cur_U - U0;\n"
"S_ptr[index] = (dot(vec, vec) <= (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE)) ? cur_U : U0;\n"
"}\n"
"__attribute__((reqd_work_group_size(8, 1, 1)))\n"
"__kernel void dis_patch_inverse_search_bwd_1(__global const uchar *I0_ptr, __global const uchar *I1_ptr,\n"
"int w, int h, int ws, int hs,\n"
"__global float2 *S_ptr)\n"
"{\n"
"int id = get_global_id(0);\n"
"int is = get_group_id(0);\n"
"is = (hs - 1 - is);\n"
"int i = is * DIS_PATCH_STRIDE;\n"
"int j = (ws - 2) * DIS_PATCH_STRIDE;\n"
"const int w_ext = w + 2 * DIS_BORDER_SIZE;\n"
"const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;\n"
"const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;\n"
"#ifdef CV_USE_SUBGROUPS\n"
"int sid = get_sub_group_local_id();\n"
"#define EXTRA_ARGS_computeSSDMeanNorm sid\n"
"#else\n"
"__local float2 smem[8];\n"
"int sid = get_local_id(0);\n"
"#define EXTRA_ARGS_computeSSDMeanNorm sid, smem\n"
"#endif\n"
"for (int js = (ws - 2); js > -1; js--, j -= DIS_PATCH_STRIDE)\n"
"{\n"
"float2 U0 = S_ptr[is * ws + js];\n"
"float2 U1 = S_ptr[is * ws + js + 1];\n"
"float i_I1, j_I1, w00, w01, w10, w11;\n"
"INIT_BILINEAR_WEIGHTS(U0.x, U0.y);\n"
"float min_SSD = computeSSDMeanNorm(\n"
"I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,\n"
"w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);\n"
"INIT_BILINEAR_WEIGHTS(U1.x, U1.y);\n"
"float cur_SSD = computeSSDMeanNorm(\n"
"I0_ptr + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,\n"
"w, w_ext, w00, w01, w10, w11, EXTRA_ARGS_computeSSDMeanNorm);\n"
"S_ptr[is * ws + js] = (cur_SSD < min_SSD) ? U1 : U0;\n"
"}\n"
"#undef EXTRA_ARGS_computeSSDMeanNorm\n"
"}\n"
"__kernel void dis_patch_inverse_search_bwd_2(__global const uchar *I0_ptr, __global const uchar *I1_ptr,\n"
"__global const short *I0x_ptr, __global const short *I0y_ptr,\n"
"__global const float *xx_ptr, __global const float *yy_ptr,\n"
"__global const float *xy_ptr,\n"
"__global const float *x_ptr, __global const float *y_ptr,\n"
"int w, int h, int ws, int hs, int num_inner_iter,\n"
"__global float2 *S_ptr)\n"
"{\n"
"int js = get_global_id(0);\n"
"int is = get_global_id(1);\n"
"if (js >= ws || is >= hs) return;\n"
"js = (ws - 1 - js);\n"
"is = (hs - 1 - is);\n"
"int j = js * DIS_PATCH_STRIDE;\n"
"int i = is * DIS_PATCH_STRIDE;\n"
"int w_ext = w + 2 * DIS_BORDER_SIZE;\n"
"int index = is * ws + js;\n"
"float2 U0 = S_ptr[index];\n"
"float2 cur_U = U0;\n"
"float cur_xx = xx_ptr[index];\n"
"float cur_yy = yy_ptr[index];\n"
"float cur_xy = xy_ptr[index];\n"
"float detH = cur_xx * cur_yy - cur_xy * cur_xy;\n"
"float inv_detH = (fabs(detH) < EPS) ? 1.0 / EPS : 1.0 / detH;\n"
"float invH11 = cur_yy * inv_detH;\n"
"float invH12 = -cur_xy * inv_detH;\n"
"float invH22 = cur_xx * inv_detH;\n"
"float prev_SSD = INF;\n"
"float x_grad_sum = x_ptr[index];\n"
"float y_grad_sum = y_ptr[index];\n"
"const float i_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"const float i_upper_limit = DIS_BORDER_SIZE + h - 1.0f;\n"
"const float j_lower_limit = DIS_BORDER_SIZE - DIS_PATCH_SIZE + 1.0f;\n"
"const float j_upper_limit = DIS_BORDER_SIZE + w - 1.0f;\n"
"for (int t = 0; t < num_inner_iter; t++)\n"
"{\n"
"float i_I1, j_I1, w00, w01, w10, w11;\n"
"INIT_BILINEAR_WEIGHTS(cur_U.x, cur_U.y);\n"
"float4 res = processPatchMeanNorm(\n"
"I0_ptr  + i * w + j, I1_ptr + (int)i_I1 * w_ext + (int)j_I1,\n"
"I0x_ptr + i * w + j, I0y_ptr + i * w + j,\n"
"w, w_ext, w00, w01, w10, w11,\n"
"x_grad_sum, y_grad_sum);\n"
"float SSD = res.x;\n"
"float dUx = res.y;\n"
"float dUy = res.z;\n"
"float dx = invH11 * dUx + invH12 * dUy;\n"
"float dy = invH12 * dUx + invH22 * dUy;\n"
"cur_U -= (float2)(dx, dy);\n"
"if (SSD >= prev_SSD)\n"
"break;\n"
"prev_SSD = SSD;\n"
"}\n"
"float2 vec = cur_U - U0;\n"
"S_ptr[index] = ((dot(vec, vec)) <= (float)(DIS_PATCH_SIZE * DIS_PATCH_SIZE)) ? cur_U : U0;\n"
"}\n"
"#endif\n"
, "39015c9b775dfd3350237f6206822f49", NULL};
struct cv::ocl::internal::ProgramEntry optical_flow_farneback_oclsrc={moduleName, "optical_flow_farneback",
"#define tx  (int)get_local_id(0)\n"
"#define ty  get_local_id(1)\n"
"#define bx  get_group_id(0)\n"
"#define bdx (int)get_local_size(0)\n"
"#define BORDER_SIZE 5\n"
"#define MAX_KSIZE_HALF 100\n"
"#ifndef polyN\n"
"#define polyN 5\n"
"#endif\n"
"#if USE_DOUBLE\n"
"#ifdef cl_amd_fp64\n"
"#pragma OPENCL EXTENSION cl_amd_fp64:enable\n"
"#elif defined (cl_khr_fp64)\n"
"#pragma OPENCL EXTENSION cl_khr_fp64:enable\n"
"#endif\n"
"#define TYPE double\n"
"#define VECTYPE double4\n"
"#else\n"
"#define TYPE float\n"
"#define VECTYPE float4\n"
"#endif\n"
"__kernel void polynomialExpansion(__global __const float * src, int srcStep,\n"
"__global float * dst, int dstStep,\n"
"const int rows, const  int cols,\n"
"__global __const float * c_g,\n"
"__global __const float * c_xg,\n"
"__global __const float * c_xxg,\n"
"__local float * smem,\n"
"const VECTYPE ig)\n"
"{\n"
"const int y = get_global_id(1);\n"
"const int x = bx * (bdx - 2*polyN) + tx - polyN;\n"
"int xWarped;\n"
"__local float *row = smem + tx;\n"
"if (y < rows && y >= 0)\n"
"{\n"
"xWarped = min(max(x, 0), cols - 1);\n"
"row[0] = src[mad24(y, srcStep, xWarped)] * c_g[0];\n"
"row[bdx] = 0.f;\n"
"row[2*bdx] = 0.f;\n"
"#pragma unroll\n"
"for (int k = 1; k <= polyN; ++k)\n"
"{\n"
"float t0 = src[mad24(max(y - k, 0), srcStep, xWarped)];\n"
"float t1 = src[mad24(min(y + k, rows - 1), srcStep, xWarped)];\n"
"row[0] += c_g[k] * (t0 + t1);\n"
"row[bdx] += c_xg[k] * (t1 - t0);\n"
"row[2*bdx] += c_xxg[k] * (t0 + t1);\n"
"}\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (y < rows && y >= 0 && tx >= polyN && tx + polyN < bdx && x < cols)\n"
"{\n"
"TYPE b1 = c_g[0] * row[0];\n"
"TYPE b3 = c_g[0] * row[bdx];\n"
"TYPE b5 = c_g[0] * row[2*bdx];\n"
"TYPE b2 = 0, b4 = 0, b6 = 0;\n"
"#pragma unroll\n"
"for (int k = 1; k <= polyN; ++k)\n"
"{\n"
"b1 += (row[k] + row[-k]) * c_g[k];\n"
"b4 += (row[k] + row[-k]) * c_xxg[k];\n"
"b2 += (row[k] - row[-k]) * c_xg[k];\n"
"b3 += (row[k + bdx] + row[-k + bdx]) * c_g[k];\n"
"b6 += (row[k + bdx] - row[-k + bdx]) * c_xg[k];\n"
"b5 += (row[k + 2*bdx] + row[-k + 2*bdx]) * c_g[k];\n"
"}\n"
"dst[mad24(y, dstStep, xWarped)] = (float)(b3*ig.s0);\n"
"dst[mad24(rows + y, dstStep, xWarped)] = (float)(b2*ig.s0);\n"
"dst[mad24(2*rows + y, dstStep, xWarped)] = (float)(b1*ig.s1 + b5*ig.s2);\n"
"dst[mad24(3*rows + y, dstStep, xWarped)] = (float)(b1*ig.s1 + b4*ig.s2);\n"
"dst[mad24(4*rows + y, dstStep, xWarped)] = (float)(b6*ig.s3);\n"
"}\n"
"}\n"
"inline int idx_row_low(const int y, const int last_row)\n"
"{\n"
"return abs(y) % (last_row + 1);\n"
"}\n"
"inline int idx_row_high(const int y, const int last_row)\n"
"{\n"
"return abs(last_row - abs(last_row - y)) % (last_row + 1);\n"
"}\n"
"inline int idx_col_low(const int x, const int last_col)\n"
"{\n"
"return abs(x) % (last_col + 1);\n"
"}\n"
"inline int idx_col_high(const int x, const int last_col)\n"
"{\n"
"return abs(last_col - abs(last_col - x)) % (last_col + 1);\n"
"}\n"
"inline int idx_col(const int x, const int last_col)\n"
"{\n"
"return idx_col_low(idx_col_high(x, last_col), last_col);\n"
"}\n"
"__kernel void gaussianBlur(__global const float * src, int srcStep,\n"
"__global float * dst, int dstStep, const int rows, const  int cols,\n"
"__global const float * c_gKer, const int ksizeHalf,\n"
"__local float * smem)\n"
"{\n"
"const int y = get_global_id(1);\n"
"const int x = get_global_id(0);\n"
"__local float *row = smem + ty * (bdx + 2*ksizeHalf);\n"
"if (y < rows)\n"
"{\n"
"for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)\n"
"{\n"
"int xExt = (int)(bx * bdx) + i - ksizeHalf;\n"
"xExt = idx_col(xExt, cols - 1);\n"
"row[i] = src[mad24(y, srcStep, xExt)] * c_gKer[0];\n"
"for (int j = 1; j <= ksizeHalf; ++j)\n"
"row[i] += (src[mad24(idx_row_low(y - j, rows - 1), srcStep, xExt)]\n"
"+ src[mad24(idx_row_high(y + j, rows - 1), srcStep, xExt)]) * c_gKer[j];\n"
"}\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (y < rows && y >= 0 && x < cols && x >= 0)\n"
"{\n"
"row += tx + ksizeHalf;\n"
"float res = row[0] * c_gKer[0];\n"
"for (int i = 1; i <= ksizeHalf; ++i)\n"
"res += (row[-i] + row[i]) * c_gKer[i];\n"
"dst[mad24(y, dstStep, x)] = res;\n"
"}\n"
"}\n"
"__kernel void gaussianBlur5(__global const float * src, int srcStep,\n"
"__global float * dst, int dstStep,\n"
"const int rows, const  int cols,\n"
"__global const float * c_gKer, const int ksizeHalf,\n"
"__local float * smem)\n"
"{\n"
"const int y = get_global_id(1);\n"
"const int x = get_global_id(0);\n"
"const int smw = bdx + 2*ksizeHalf;\n"
"__local volatile float *row = smem + 5 * ty * smw;\n"
"if (y < rows)\n"
"{\n"
"for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)\n"
"{\n"
"int xExt = (int)(bx * bdx) + i - ksizeHalf;\n"
"xExt = idx_col(xExt, cols - 1);\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"row[k*smw + i] = src[mad24(k*rows + y, srcStep, xExt)] * c_gKer[0];\n"
"for (int j = 1; j <= ksizeHalf; ++j)\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"row[k*smw + i] +=\n"
"(src[mad24(k*rows + idx_row_low(y - j, rows - 1), srcStep, xExt)] +\n"
"src[mad24(k*rows + idx_row_high(y + j, rows - 1), srcStep, xExt)]) * c_gKer[j];\n"
"}\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (y < rows && y >= 0 && x < cols && x >= 0)\n"
"{\n"
"row += tx + ksizeHalf;\n"
"float res[5];\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"res[k] = row[k*smw] * c_gKer[0];\n"
"for (int i = 1; i <= ksizeHalf; ++i)\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"res[k] += (row[k*smw - i] + row[k*smw + i]) * c_gKer[i];\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"dst[mad24(k*rows + y, dstStep, x)] = res[k];\n"
"}\n"
"}\n"
"__constant float c_border[BORDER_SIZE + 1] = { 0.14f, 0.14f, 0.4472f, 0.4472f, 0.4472f, 1.f };\n"
"__kernel void updateMatrices(__global const float * flowx, int xStep,\n"
"__global const float * flowy, int yStep,\n"
"const int rows, const int cols,\n"
"__global const float * R0, int R0Step,\n"
"__global const float * R1, int R1Step,\n"
"__global float * M, int mStep)\n"
"{\n"
"const int y = get_global_id(1);\n"
"const int x = get_global_id(0);\n"
"if (y < rows && y >= 0 && x < cols && x >= 0)\n"
"{\n"
"float dx = flowx[mad24(y, xStep, x)];\n"
"float dy = flowy[mad24(y, yStep, x)];\n"
"float fx = x + dx;\n"
"float fy = y + dy;\n"
"int x1 = convert_int(floor(fx));\n"
"int y1 = convert_int(floor(fy));\n"
"fx -= x1;\n"
"fy -= y1;\n"
"float r2, r3, r4, r5, r6;\n"
"if (x1 >= 0 && y1 >= 0 && x1 < cols - 1 && y1 < rows - 1)\n"
"{\n"
"float a00 = (1.f - fx) * (1.f - fy);\n"
"float a01 = fx * (1.f - fy);\n"
"float a10 = (1.f - fx) * fy;\n"
"float a11 = fx * fy;\n"
"r2 = a00 * R1[mad24(y1, R1Step, x1)] +\n"
"a01 * R1[mad24(y1, R1Step, x1 + 1)] +\n"
"a10 * R1[mad24(y1 + 1, R1Step, x1)] +\n"
"a11 * R1[mad24(y1 + 1, R1Step, x1 + 1)];\n"
"r3 = a00 * R1[mad24(rows + y1, R1Step, x1)] +\n"
"a01 * R1[mad24(rows + y1, R1Step, x1 + 1)] +\n"
"a10 * R1[mad24(rows + y1 + 1, R1Step, x1)] +\n"
"a11 * R1[mad24(rows + y1 + 1, R1Step, x1 + 1)];\n"
"r4 = a00 * R1[mad24(2*rows + y1, R1Step, x1)] +\n"
"a01 * R1[mad24(2*rows + y1, R1Step, x1 + 1)] +\n"
"a10 * R1[mad24(2*rows + y1 + 1, R1Step, x1)] +\n"
"a11 * R1[mad24(2*rows + y1 + 1, R1Step, x1 + 1)];\n"
"r5 = a00 * R1[mad24(3*rows + y1, R1Step, x1)] +\n"
"a01 * R1[mad24(3*rows + y1, R1Step, x1 + 1)] +\n"
"a10 * R1[mad24(3*rows + y1 + 1, R1Step, x1)] +\n"
"a11 * R1[mad24(3*rows + y1 + 1, R1Step, x1 + 1)];\n"
"r6 = a00 * R1[mad24(4*rows + y1, R1Step, x1)] +\n"
"a01 * R1[mad24(4*rows + y1, R1Step, x1 + 1)] +\n"
"a10 * R1[mad24(4*rows + y1 + 1, R1Step, x1)] +\n"
"a11 * R1[mad24(4*rows + y1 + 1, R1Step, x1 + 1)];\n"
"r4 = (R0[mad24(2*rows + y, R0Step, x)] + r4) * 0.5f;\n"
"r5 = (R0[mad24(3*rows + y, R0Step, x)] + r5) * 0.5f;\n"
"r6 = (R0[mad24(4*rows + y, R0Step, x)] + r6) * 0.25f;\n"
"}\n"
"else\n"
"{\n"
"r2 = r3 = 0.f;\n"
"r4 = R0[mad24(2*rows + y, R0Step, x)];\n"
"r5 = R0[mad24(3*rows + y, R0Step, x)];\n"
"r6 = R0[mad24(4*rows + y, R0Step, x)] * 0.5f;\n"
"}\n"
"r2 = (R0[mad24(y, R0Step, x)] - r2) * 0.5f;\n"
"r3 = (R0[mad24(rows + y, R0Step, x)] - r3) * 0.5f;\n"
"r2 += r4*dy + r6*dx;\n"
"r3 += r6*dy + r5*dx;\n"
"float scale =\n"
"c_border[min(x, BORDER_SIZE)] *\n"
"c_border[min(y, BORDER_SIZE)] *\n"
"c_border[min(cols - x - 1, BORDER_SIZE)] *\n"
"c_border[min(rows - y - 1, BORDER_SIZE)];\n"
"r2 *= scale;\n"
"r3 *= scale;\n"
"r4 *= scale;\n"
"r5 *= scale;\n"
"r6 *= scale;\n"
"M[mad24(y, mStep, x)] = r4*r4 + r6*r6;\n"
"M[mad24(rows + y, mStep, x)] = (r4 + r5)*r6;\n"
"M[mad24(2*rows + y, mStep, x)] = r5*r5 + r6*r6;\n"
"M[mad24(3*rows + y, mStep, x)] = r4*r2 + r6*r3;\n"
"M[mad24(4*rows + y, mStep, x)] = r6*r2 + r5*r3;\n"
"}\n"
"}\n"
"__kernel void boxFilter5(__global const float * src, int srcStep,\n"
"__global float * dst, int dstStep,\n"
"const int rows, const  int cols,\n"
"const int ksizeHalf,\n"
"__local float * smem)\n"
"{\n"
"const int y = get_global_id(1);\n"
"const int x = get_global_id(0);\n"
"const float boxAreaInv = 1.f / ((1 + 2*ksizeHalf) * (1 + 2*ksizeHalf));\n"
"const int smw = bdx + 2*ksizeHalf;\n"
"__local float *row = smem + 5 * ty * smw;\n"
"if (y < rows)\n"
"{\n"
"for (int i = tx; i < bdx + 2*ksizeHalf; i += bdx)\n"
"{\n"
"int xExt = (int)(bx * bdx) + i - ksizeHalf;\n"
"xExt = min(max(xExt, 0), cols - 1);\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"row[k*smw + i] = src[mad24(k*rows + y, srcStep, xExt)];\n"
"for (int j = 1; j <= ksizeHalf; ++j)\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"row[k*smw + i] +=\n"
"src[mad24(k*rows + max(y - j, 0), srcStep, xExt)] +\n"
"src[mad24(k*rows + min(y + j, rows - 1), srcStep, xExt)];\n"
"}\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (y < rows && y >= 0 && x < cols && x >= 0)\n"
"{\n"
"row += tx + ksizeHalf;\n"
"float res[5];\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"res[k] = row[k*smw];\n"
"for (int i = 1; i <= ksizeHalf; ++i)\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"res[k] += row[k*smw - i] + row[k*smw + i];\n"
"#pragma unroll\n"
"for (int k = 0; k < 5; ++k)\n"
"dst[mad24(k*rows + y, dstStep, x)] = res[k] * boxAreaInv;\n"
"}\n"
"}\n"
"__kernel void updateFlow(__global const float * M, int mStep,\n"
"__global float * flowx, int xStep,\n"
"__global float * flowy, int yStep,\n"
"const int rows, const int cols)\n"
"{\n"
"const int y = get_global_id(1);\n"
"const int x = get_global_id(0);\n"
"if (y < rows && y >= 0 && x < cols && x >= 0)\n"
"{\n"
"float g11 = M[mad24(y, mStep, x)];\n"
"float g12 = M[mad24(rows + y, mStep, x)];\n"
"float g22 = M[mad24(2*rows + y, mStep, x)];\n"
"float h1 =  M[mad24(3*rows + y, mStep, x)];\n"
"float h2 =  M[mad24(4*rows + y, mStep, x)];\n"
"float detInv = 1.f / (g11*g22 - g12*g12 + 1e-3f);\n"
"flowx[mad24(y, xStep, x)] = (g11*h2 - g12*h1) * detInv;\n"
"flowy[mad24(y, yStep, x)] = (g22*h1 - g12*h2) * detInv;\n"
"}\n"
"}\n"
, "529300e6242f574f83d11a089cc120c0", NULL};
struct cv::ocl::internal::ProgramEntry pyrlk_oclsrc={moduleName, "pyrlk",
"#define GRIDSIZE    3\n"
"#define LSx 8\n"
"#define LSy 8\n"
"#define LM_W (LSx*GRIDSIZE+2)\n"
"#define LM_H (LSy*GRIDSIZE+2)\n"
"#define BUFFER  (LSx*LSy)\n"
"#define BUFFER2 BUFFER>>1\n"
"#ifdef CPU\n"
"inline void reduce3(float val1, float val2, float val3,  __local float* smem1,  __local float* smem2,  __local float* smem3, int tid)\n"
"{\n"
"smem1[tid] = val1;\n"
"smem2[tid] = val2;\n"
"smem3[tid] = val3;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"for(int i = BUFFER2; i > 0; i >>= 1)\n"
"{\n"
"if(tid < i)\n"
"{\n"
"smem1[tid] += smem1[tid + i];\n"
"smem2[tid] += smem2[tid + i];\n"
"smem3[tid] += smem3[tid + i];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"}\n"
"}\n"
"inline void reduce2(float val1, float val2, __local float* smem1, __local float* smem2, int tid)\n"
"{\n"
"smem1[tid] = val1;\n"
"smem2[tid] = val2;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"for(int i = BUFFER2; i > 0; i >>= 1)\n"
"{\n"
"if(tid < i)\n"
"{\n"
"smem1[tid] += smem1[tid + i];\n"
"smem2[tid] += smem2[tid + i];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"}\n"
"}\n"
"inline void reduce1(float val1, __local float* smem1, int tid)\n"
"{\n"
"smem1[tid] = val1;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"for(int i = BUFFER2; i > 0; i >>= 1)\n"
"{\n"
"if(tid < i)\n"
"{\n"
"smem1[tid] += smem1[tid + i];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"}\n"
"}\n"
"#else\n"
"inline void reduce3(float val1, float val2, float val3,\n"
"__local float* smem1, __local float* smem2, __local float* smem3, int tid)\n"
"{\n"
"smem1[tid] = val1;\n"
"smem2[tid] = val2;\n"
"smem3[tid] = val3;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 32)\n"
"{\n"
"smem1[tid] += smem1[tid + 32];\n"
"smem2[tid] += smem2[tid + 32];\n"
"smem3[tid] += smem3[tid + 32];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 16)\n"
"{\n"
"smem1[tid] += smem1[tid + 16];\n"
"smem2[tid] += smem2[tid + 16];\n"
"smem3[tid] += smem3[tid + 16];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 8)\n"
"{\n"
"smem1[tid] += smem1[tid + 8];\n"
"smem2[tid] += smem2[tid + 8];\n"
"smem3[tid] += smem3[tid + 8];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 4)\n"
"{\n"
"smem1[tid] += smem1[tid + 4];\n"
"smem2[tid] += smem2[tid + 4];\n"
"smem3[tid] += smem3[tid + 4];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid == 0)\n"
"{\n"
"smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]);\n"
"smem2[0] = (smem2[0] + smem2[1]) + (smem2[2] + smem2[3]);\n"
"smem3[0] = (smem3[0] + smem3[1]) + (smem3[2] + smem3[3]);\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"}\n"
"inline void reduce2(float val1, float val2, __local float* smem1, __local float* smem2, int tid)\n"
"{\n"
"smem1[tid] = val1;\n"
"smem2[tid] = val2;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 32)\n"
"{\n"
"smem1[tid] += smem1[tid + 32];\n"
"smem2[tid] += smem2[tid + 32];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 16)\n"
"{\n"
"smem1[tid] += smem1[tid + 16];\n"
"smem2[tid] += smem2[tid + 16];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 8)\n"
"{\n"
"smem1[tid] += smem1[tid + 8];\n"
"smem2[tid] += smem2[tid + 8];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 4)\n"
"{\n"
"smem1[tid] += smem1[tid + 4];\n"
"smem2[tid] += smem2[tid + 4];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid == 0)\n"
"{\n"
"smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]);\n"
"smem2[0] = (smem2[0] + smem2[1]) + (smem2[2] + smem2[3]);\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"}\n"
"inline void reduce1(float val1, __local float* smem1, int tid)\n"
"{\n"
"smem1[tid] = val1;\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 32)\n"
"{\n"
"smem1[tid] += smem1[tid + 32];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 16)\n"
"{\n"
"smem1[tid] += smem1[tid + 16];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 8)\n"
"{\n"
"smem1[tid] += smem1[tid + 8];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid < 4)\n"
"{\n"
"smem1[tid] += smem1[tid + 4];\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"if (tid == 0)\n"
"{\n"
"smem1[0] = (smem1[0] + smem1[1]) + (smem1[2] + smem1[3]);\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"}\n"
"#endif\n"
"#define SCALE (1.0f / (1 << 20))\n"
"#define  THRESHOLD  0.01f\n"
"__constant sampler_t sampler    = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_LINEAR;\n"
"#define VAL(_y,_x,_yy,_xx)    (IPatchLocal[mad24(((_y) + (_yy)), LM_W, ((_x) + (_xx)))])\n"
"inline void SetPatch(local float* IPatchLocal, int TileY, int TileX,\n"
"float* Pch, float* Dx, float* Dy,\n"
"float* A11, float* A12, float* A22, float w)\n"
"{\n"
"int xid=get_local_id(0);\n"
"int yid=get_local_id(1);\n"
"int xBase = mad24(TileX, LSx, (xid + 1));\n"
"int yBase = mad24(TileY, LSy, (yid + 1));\n"
"*Pch = VAL(yBase,xBase,0,0);\n"
"*Dx = mad((VAL(yBase,xBase,-1,1) + VAL(yBase,xBase,+1,1) - VAL(yBase,xBase,-1,-1) - VAL(yBase,xBase,+1,-1)), 3.0f, (VAL(yBase,xBase,0,1) - VAL(yBase,xBase,0,-1)) * 10.0f) * w;\n"
"*Dy = mad((VAL(yBase,xBase,1,-1) + VAL(yBase,xBase,1,+1) - VAL(yBase,xBase,-1,-1) - VAL(yBase,xBase,-1,+1)), 3.0f, (VAL(yBase,xBase,1,0) - VAL(yBase,xBase,-1,0)) * 10.0f) * w;\n"
"*A11 = mad(*Dx, *Dx, *A11);\n"
"*A12 = mad(*Dx, *Dy, *A12);\n"
"*A22 = mad(*Dy, *Dy, *A22);\n"
"}\n"
"#undef VAL\n"
"inline void GetPatch(image2d_t J, float x, float y,\n"
"float* Pch, float* Dx, float* Dy,\n"
"float* b1, float* b2)\n"
"{\n"
"float diff = read_imagef(J, sampler, (float2)(x,y)).x-*Pch;\n"
"*b1 = mad(diff, *Dx, *b1);\n"
"*b2 = mad(diff, *Dy, *b2);\n"
"}\n"
"inline void GetError(image2d_t J, const float x, const float y, const float* Pch, float* errval, float w)\n"
"{\n"
"float diff = ((((read_imagef(J, sampler, (float2)(x,y)).x * 16384) + 256) / 512) - (((*Pch * 16384) + 256) /512)) * w;\n"
"*errval += fabs(diff);\n"
"}\n"
"#define READI(_y,_x) IPatchLocal[mad24(mad24((_y), LSy, yid), LM_W, mad24((_x), LSx, xid))] = read_imagef(I, sampler, (float2)(mad((float)(_x), (float)LSx, Point.x + xid - 0.5f), mad((float)(_y), (float)LSy, Point.y + yid - 0.5f))).x;\n"
"void ReadPatchIToLocalMem(image2d_t I, float2 Point, local float* IPatchLocal)\n"
"{\n"
"int xid=get_local_id(0);\n"
"int yid=get_local_id(1);\n"
"READI(0,0);READI(0,1);READI(0,2);\n"
"READI(1,0);READI(1,1);READI(1,2);\n"
"READI(2,0);READI(2,1);READI(2,2);\n"
"if(xid<2)\n"
"{\n"
"READI(0,3);\n"
"READI(1,3);\n"
"READI(2,3);\n"
"}\n"
"if(yid<2)\n"
"{\n"
"READI(3,0);READI(3,1);READI(3,2);\n"
"}\n"
"if(yid<2 && xid<2)\n"
"{\n"
"READI(3,3);\n"
"}\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"}\n"
"#undef READI\n"
"__attribute__((reqd_work_group_size(LSx, LSy, 1)))\n"
"__kernel void lkSparse(image2d_t I, image2d_t J,\n"
"__global const float2* prevPts, __global float2* nextPts, __global uchar* status, __global float* err,\n"
"const int level, const int rows, const int cols, int PATCH_X, int PATCH_Y, int c_winSize_x, int c_winSize_y, int c_iters, char calcErr)\n"
"{\n"
"__local float smem1[BUFFER];\n"
"__local float smem2[BUFFER];\n"
"__local float smem3[BUFFER];\n"
"int xid=get_local_id(0);\n"
"int yid=get_local_id(1);\n"
"int gid=get_group_id(0);\n"
"int xsize=get_local_size(0);\n"
"int ysize=get_local_size(1);\n"
"int k;\n"
"#ifdef CPU\n"
"float wx0 = 1.0f;\n"
"float wy0 = 1.0f;\n"
"int xBase = mad24(xsize, 2, xid);\n"
"int yBase = mad24(ysize, 2, yid);\n"
"float wx1 = (xBase < c_winSize_x) ? 1 : 0;\n"
"float wy1 = (yBase < c_winSize_y) ? 1 : 0;\n"
"#else\n"
"#if WSX == 1\n"
"float wx0 = 1.0f;\n"
"int xBase = mad24(xsize, 2, xid);\n"
"float wx1 = (xBase < c_winSize_x) ? 1 : 0;\n"
"#else\n"
"int xBase = mad24(xsize, 1, xid);\n"
"float wx0 = (xBase < c_winSize_x) ? 1 : 0;\n"
"float wx1 = 0.0f;\n"
"#endif\n"
"#if WSY == 1\n"
"float wy0 = 1.0f;\n"
"int yBase = mad24(ysize, 2, yid);\n"
"float wy1 = (yBase < c_winSize_y) ? 1 : 0;\n"
"#else\n"
"int yBase = mad24(ysize, 1, yid);\n"
"float wy0 = (yBase < c_winSize_y) ? 1 : 0;\n"
"float wy1 = 0.0f;\n"
"#endif\n"
"#endif\n"
"float2 c_halfWin = (float2)((c_winSize_x - 1)>>1, (c_winSize_y - 1)>>1);\n"
"const int tid = mad24(yid, xsize, xid);\n"
"float2 prevPt = prevPts[gid] / (float2)(1 << level);\n"
"if (prevPt.x < 0 || prevPt.x >= cols || prevPt.y < 0 || prevPt.y >= rows)\n"
"{\n"
"if (tid == 0 && level == 0)\n"
"{\n"
"status[gid] = 0;\n"
"}\n"
"return;\n"
"}\n"
"prevPt -= c_halfWin;\n"
"float A11 = 0;\n"
"float A12 = 0;\n"
"float A22 = 0;\n"
"float I_patch[GRIDSIZE][GRIDSIZE];\n"
"float dIdx_patch[GRIDSIZE][GRIDSIZE];\n"
"float dIdy_patch[GRIDSIZE][GRIDSIZE];\n"
"local float IPatchLocal[LM_W*LM_H];\n"
"ReadPatchIToLocalMem(I,prevPt,IPatchLocal);\n"
"{\n"
"SetPatch(IPatchLocal, 0, 0,\n"
"&I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0],\n"
"&A11, &A12, &A22,1);\n"
"SetPatch(IPatchLocal, 0, 1,\n"
"&I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1],\n"
"&A11, &A12, &A22,wx0);\n"
"SetPatch(IPatchLocal, 0, 2,\n"
"&I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2],\n"
"&A11, &A12, &A22,wx1);\n"
"}\n"
"{\n"
"SetPatch(IPatchLocal, 1, 0,\n"
"&I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0],\n"
"&A11, &A12, &A22,wy0);\n"
"SetPatch(IPatchLocal, 1,1,\n"
"&I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1],\n"
"&A11, &A12, &A22,wx0*wy0);\n"
"SetPatch(IPatchLocal, 1,2,\n"
"&I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2],\n"
"&A11, &A12, &A22,wx1*wy0);\n"
"}\n"
"{\n"
"SetPatch(IPatchLocal, 2,0,\n"
"&I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0],\n"
"&A11, &A12, &A22,wy1);\n"
"SetPatch(IPatchLocal, 2,1,\n"
"&I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1],\n"
"&A11, &A12, &A22,wx0*wy1);\n"
"SetPatch(IPatchLocal, 2,2,\n"
"&I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2],\n"
"&A11, &A12, &A22,wx1*wy1);\n"
"}\n"
"reduce3(A11, A12, A22, smem1, smem2, smem3, tid);\n"
"A11 = smem1[0];\n"
"A12 = smem2[0];\n"
"A22 = smem3[0];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"float D = mad(A11, A22, - A12 * A12);\n"
"if (D < 1.192092896e-07f)\n"
"{\n"
"if (tid == 0 && level == 0)\n"
"status[gid] = 0;\n"
"return;\n"
"}\n"
"A11 /= D;\n"
"A12 /= D;\n"
"A22 /= D;\n"
"prevPt = mad(nextPts[gid], 2.0f, - c_halfWin);\n"
"float2 offset0 = (float2)(xid + 0.5f, yid + 0.5f);\n"
"float2 offset1 = (float2)(xsize, ysize);\n"
"float2 loc0 = prevPt + offset0;\n"
"float2 loc1 = loc0 + offset1;\n"
"float2 loc2 = loc1 + offset1;\n"
"for (k = 0; k < c_iters; ++k)\n"
"{\n"
"if (prevPt.x < -c_halfWin.x || prevPt.x >= cols || prevPt.y < -c_halfWin.y || prevPt.y >= rows)\n"
"{\n"
"if (tid == 0 && level == 0)\n"
"status[gid] = 0;\n"
"break;\n"
"}\n"
"float b1 = 0;\n"
"float b2 = 0;\n"
"{\n"
"GetPatch(J, loc0.x, loc0.y,\n"
"&I_patch[0][0], &dIdx_patch[0][0], &dIdy_patch[0][0],\n"
"&b1, &b2);\n"
"GetPatch(J, loc1.x, loc0.y,\n"
"&I_patch[0][1], &dIdx_patch[0][1], &dIdy_patch[0][1],\n"
"&b1, &b2);\n"
"GetPatch(J, loc2.x, loc0.y,\n"
"&I_patch[0][2], &dIdx_patch[0][2], &dIdy_patch[0][2],\n"
"&b1, &b2);\n"
"}\n"
"{\n"
"GetPatch(J, loc0.x, loc1.y,\n"
"&I_patch[1][0], &dIdx_patch[1][0], &dIdy_patch[1][0],\n"
"&b1, &b2);\n"
"GetPatch(J, loc1.x, loc1.y,\n"
"&I_patch[1][1], &dIdx_patch[1][1], &dIdy_patch[1][1],\n"
"&b1, &b2);\n"
"GetPatch(J, loc2.x, loc1.y,\n"
"&I_patch[1][2], &dIdx_patch[1][2], &dIdy_patch[1][2],\n"
"&b1, &b2);\n"
"}\n"
"{\n"
"GetPatch(J, loc0.x, loc2.y,\n"
"&I_patch[2][0], &dIdx_patch[2][0], &dIdy_patch[2][0],\n"
"&b1, &b2);\n"
"GetPatch(J, loc1.x, loc2.y,\n"
"&I_patch[2][1], &dIdx_patch[2][1], &dIdy_patch[2][1],\n"
"&b1, &b2);\n"
"GetPatch(J, loc2.x, loc2.y,\n"
"&I_patch[2][2], &dIdx_patch[2][2], &dIdy_patch[2][2],\n"
"&b1, &b2);\n"
"}\n"
"reduce2(b1, b2, smem1, smem2, tid);\n"
"b1 = smem1[0];\n"
"b2 = smem2[0];\n"
"barrier(CLK_LOCAL_MEM_FENCE);\n"
"float2 delta;\n"
"delta.x = mad(A12, b2, - A22 * b1) * 32.0f;\n"
"delta.y = mad(A12, b1, - A11 * b2) * 32.0f;\n"
"prevPt += delta;\n"
"loc0 += delta;\n"
"loc1 += delta;\n"
"loc2 += delta;\n"
"if (fabs(delta.x) < THRESHOLD && fabs(delta.y) < THRESHOLD)\n"
"break;\n"
"}\n"
"D = 0.0f;\n"
"if (calcErr)\n"
"{\n"
"{\n"
"GetError(J, loc0.x, loc0.y, &I_patch[0][0], &D, 1);\n"
"GetError(J, loc1.x, loc0.y, &I_patch[0][1], &D, wx0);\n"
"}\n"
"{\n"
"GetError(J, loc0.x, loc1.y, &I_patch[1][0], &D, wy0);\n"
"GetError(J, loc1.x, loc1.y, &I_patch[1][1], &D, wx0*wy0);\n"
"}\n"
"if(xBase < c_winSize_x)\n"
"{\n"
"GetError(J, loc2.x, loc0.y, &I_patch[0][2], &D, wx1);\n"
"GetError(J, loc2.x, loc1.y, &I_patch[1][2], &D, wx1*wy0);\n"
"}\n"
"if(yBase < c_winSize_y)\n"
"{\n"
"GetError(J, loc0.x, loc2.y, &I_patch[2][0], &D, wy1);\n"
"GetError(J, loc1.x, loc2.y, &I_patch[2][1], &D, wx0*wy1);\n"
"if(xBase < c_winSize_x)\n"
"GetError(J, loc2.x, loc2.y, &I_patch[2][2], &D, wx1*wy1);\n"
"}\n"
"reduce1(D, smem1, tid);\n"
"}\n"
"if (tid == 0)\n"
"{\n"
"prevPt += c_halfWin;\n"
"nextPts[gid] = prevPt;\n"
"if (calcErr)\n"
"err[gid] = smem1[0] / (float)(32 * c_winSize_x * c_winSize_y);\n"
"}\n"
"}\n"
, "fa578a4fdcd31c3e32eedab3e323ac05", NULL};

}}}
#endif